Articoli correlati a Bayesian Statistics: An Introduction
Sinossi
Among statisticians the Bayesian approach continues to gain adherents and this new edition of Peter Lee's classic introduction maintains the clarity of exposition and use of examples for which the text is known and praised. In addition, there is extended coverage of the Metropolis-Hastings algorithm as well as an introduction to the use of BUGS, as this is now the standard computational tool for such numerical work. Other alterations include new material on generalized linear modeling and Bernardo's theory of reference points.
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Informazioni sull?autore
Peter M. Lee is Provost of Wentworth College, University of York, UK.
Dalla quarta di copertina
Bayesian Statistics is the school of thought that uses all information surrounding the likelihood of an event rather than just that collected experimentally. Among statisticians the Bayesian approach continues to gain adherents and this new edition of Peter Lee s well-established introduction maintains the clarity of exposition and use of examples for which this text is known and praised. In addition, there is extended coverage of the Metropolis-Hastings algorithm as well as an introduction to the use of BUGS (Bayesian Inference Using Gibbs Sampling) as this is now the standard computational tool for such numerical work. Other alterations include new material on generalized linear modelling and Bernardo s theory of reference points.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
- EditoreHodder Arnold
- Data di pubblicazione2004
- ISBN 10 0340814055
- ISBN 13 9780340814055
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero edizione3
- Numero di pagine351
- Contatto del produttorenon disponibile
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